Deep television libraries often span hundreds or thousands of episodes.
Accessing the moments that drive digital usually depends on a handful of lifers who remember everything, or long, manual research cycles to build a usable archive.
ClipMiner removes those bottlenecks by replacing institutional memory and slow workflows with a system your team can query in minutes.
We built a focused stack and workflow that turns deep content libraries into something your team can search in minutes.
Broadcast caption files and related materials are ingested through automation, transforming fragmented archives into a private AI search engine built exclusively on your content.
Your team runs defined queries through a simple web interface, and the system scans the full library to return structured moments with season, episode, act, and contextual detail built for digital production.
Caption files
Episode metadata
Production notes
Structure content
Understand episodes
Private search
Moment lists
Full descriptions
Export-ready sheets
ClipMiner is built for digital teams working inside deep television libraries with hundreds or thousands of episodes.
If accessing usable moments depends on institutional memory or lengthy research cycles, this makes the entire archive instantly searchable.
It’s especially useful for long-running formats such as game shows, court, talk, soaps, reality, and other catalogs with significant digital potential.
ClipMiner is built by digital producers with billions of views across all major platforms on behalf of multiple global entertainment brands.
We have spent years working inside long-running television formats and understand how archives are actually mined, packaged, and monetized.
We built the tool we always needed and are now making it available to select partners.
If this resonates, we should talk.